Triple

T860755
Position Surface form Disambiguated ID Type / Status
Subject Kurukshetra battlefield E18593 entity
Predicate locatedIn P40 FINISHED
Object Kurukshetra E95952 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kurukshetra | Statement: [Kurukshetra battlefield, locatedIn, Kurukshetra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurukshetra
Context triple: [Kurukshetra battlefield, locatedIn, Kurukshetra]
  • A. Kurukshetra battlefield
    Kurukshetra battlefield is the legendary war site in the Indian epic Mahabharata where the dialogue between Prince Arjuna and Lord Krishna, recorded as the Bhagavad Gita, takes place.
  • B. Ayodhya
    Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
  • C. Kurukshetra district chosen
    Kurukshetra district is an administrative region in northern India renowned as the legendary battlefield of the Mahabharata and a major Hindu pilgrimage center.
  • D. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • E. Ambala
    Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac52536c8190ab198232e9ec4bd6 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c3d2fc8190b9f76d31528feeb6 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.